Everpure (P) Long-Term Debt Repayments (2018 - 2026)
Everpure's Long-Term Debt Repayments came in at $612,000 for fiscal Q1 2027 (quarter ended May 3, 2026), down 45.6% from $1.13 million a year earlier but up 565.2% from the prior quarter.
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Analysis
Everpure (P) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Everpure's Long-Term Debt Repayments was $103.53 million.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 163.8% (FY2022 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $8.12 million in FY2025 (-98.6%), $586.2 million in FY2024 (+127.9%), $257.24 million in FY2023 and $2.14 million in FY2022.
- The five-year range for quarterly Long-Term Debt Repayments is $92,000 (fiscal Q4 2026) to $576.78 million (fiscal Q1 2024).
- Year-over-year, Long-Term Debt Repayments increased in four of the last seven quarters, with growth averaging 107.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q2 2025 (growth of 888.2%), and the weakest in fiscal Q1 2025 (a decline of 99.8%).
- Business Quant data shows P's Long-Term Debt Repayments at $92,000 (Q4 2026), $2.32 million (Q3 2026) and $100 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | - |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 300.00 Mn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | -67.19 Mn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 100.00 Mn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 3, 2026 | 612,000.00 |
| Feb 1, 2026 | 92,000.00 |
| Nov 2, 2025 | 2.32 Mn |
| Aug 3, 2025 | 100.00 Mn |
| May 4, 2025 | 1.13 Mn |
| Feb 2, 2025 | 2.40 Mn |
| Nov 3, 2024 | 1.79 Mn |
| Aug 4, 2024 | 2.84 Mn |
| May 5, 2024 | 1.10 Mn |
| Feb 4, 2024 | 1.62 Mn |
| Nov 5, 2023 | 7.52 Mn |
| Aug 6, 2023 | 287,000.00 |
| May 7, 2023 | 576.78 Mn |
| Feb 5, 2023 | 1.10 Mn |
| Nov 6, 2022 | 4.57 Mn |
| Aug 7, 2022 | 182,000.00 |
| May 8, 2022 | 251.40 Mn |
| Feb 6, 2022 | 853,000.00 |
| Oct 31, 2021 | 679,000.00 |
| Aug 1, 2021 | 261,000.00 |
API Access
Everpure Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "P", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();